Policy presence
Iowa State University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Ames, United States
Iowa State University has 5 source-backed public claims for policy presence; deterministic analysis status: unclear.
Iowa State University has 1 source-backed public claim for ai disclosure; deterministic analysis status: recommended.
Iowa State University has 5 source-backed public claims for coursework; deterministic analysis status: restricted.
Iowa State University has 5 source-backed public claims for exams; deterministic analysis status: restricted.
Iowa State University has 4 source-backed public claims for privacy and data entry; deterministic analysis status: restricted.
Iowa State University has 1 source-backed public claim for academic integrity; deterministic analysis status: recommended.
Iowa State University has 4 source-backed public claims for approved tools; deterministic analysis status: restricted.
Iowa State University has 5 source-backed public claims for named ai services; deterministic analysis status: restricted.
Iowa State University has 1 source-backed public claim for teaching guidance; deterministic analysis status: recommended.
Iowa State University has 3 source-backed public claims for research guidance; deterministic analysis status: restricted.
No source-backed public claim about AI security review or procurement is present in this profile.
The current public tracker record does not contain claim evidence about security review, procurement, vendor approval, risk assessment, authentication, SSO, or enterprise licensing.
8 reviewed evidence-backed public claim
Privacy
Normalized value: moderate_or_above_confidential_data_needs_assessment_and_approval_before_genai_input
Original evidence
Evidence 1Confidential data (data classified as “moderate” or above), may not be entered into any generative AI product unless the confidential data has been assessed and approved for such use in accordance with ISU’s data classification policy and other appropriate institutional compliance offices as applicable.
Source Status
Normalized value: no_formal_research_ai_policy_ovpr_guidance_points_to_external_research_norms
Original evidence
Evidence 1No. With a technology that is evolving as rapidly as GenAI, any formal policy is likely to already be outdated by the time it would be enacted across the institution. Therefore, we urge all principal investigators to follow the AI guidance and direction of their professional societies, funding agencies, and the publishing houses they target for their research papers.
Ai Tool Treatment
Normalized value: genai_use_must_align_with_laws_policies_and_user_responsibility
Original evidence
Evidence 1Use of generative AI must align with the university’s mission, vision, and values and comply with all state and federal laws and institutional regulations and requirements, including the university policies regarding: Acceptable use of information technology resources; IT security; Data classification; Research data policies.
Privacy
Normalized value: research_guidance_warns_public_ai_uploads_are_public_disclosures
Original evidence
Evidence 1You cannot assume GenAI tools are compliant with rules and laws designed to ensure the confidentiality of private information, such as HIPAA (Health Insurance Portability and Accountability Act of 1996) and FERPA (Family Educational Rights and Privacy Act). Uploading information (e.g., research data, grant proposals, unpublished manuscripts, or analytical results) to a public AI tool is equivalent to releasing it publicly.
Ai Tool Treatment
Normalized value: marcom_materials_not_solely_ai_human_review_required_no_confidential_data
Original evidence
Evidence 1Marketing and communications materials cannot be created solely by generative AI; Use of generative AI tools must comply with existing Iowa State policies; Human review is required for all content produced with AI assistance; Confidential data should not be entered into generative AI tools.
Academic Integrity
Normalized value: suspected_ai_generated_coursework_referrals_reviewed_like_academic_misconduct
Original evidence
Evidence 1Faculty and instructors may wish to add specific information in their syllabus related to use of AI content generation. CELT has developed recommendations for syllabus language about AI that may be useful in addressing these concerns, and provides information on potential alternative assignments and assessments. Suspected AI-generated coursework referrals will be reviewed similar to any other form of academic misconduct.
Ai Tool Treatment
Normalized value: central_ai_site_lists_tools_and_verified_data_protection_statuses
Original evidence
Evidence 1Compare features of available AI tools | Verified data protection | Verified | Verified | Verified | Verified | In progress | Verified
Teaching
Normalized value: celt_ai_teaching_resources_include_syllabus_and_canvas_materials
Original evidence
Evidence 1The resources below are designed to support ISU instructors as they navigate AI use from a teaching and learning lens. CELT Gen AI Syllabus Considerations: This resource helps you craft a Gen AI syllabus statement specific to your course. Use of Gen AI in Iowa State Courses: An interactive page that can be added to any Canvas course, featuring quick answers to common student questions.
0 machine or needs-review claim
6 source attribution
marcom.iastate.edu
celt.iastate.edu
ai.iastate.edu
studentconduct.dso.iastate.edu
research.iastate.edu
ai.iastate.edu